Abstract
Augmented reality (AR) platforms are poised to have great potential for industries when it comes to complex processes like maintenance or instrument commissioning in the Oil and Gas industry. The human-centered technology displays context-specific 3-D information in a real environment related to a specifically targeted object. Immersive experiences are expected to boost task efficiency, the quality of training, and maintenance purposes. This research shows an AR system that allows users to train in the calibration of HART instrumentation, using the Unity 3D platform and Meta 2 glasses. This application offers a platform that has advantages for users since it can train in the operation of expensive industrial equipment in an error-prone system. The validation of the system was carried out through an evaluation module, which allows the user to determine the level of training and autonomously build their own learning, obtaining positive responses that show that around 82% of the population evaluated.
Original language | English |
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Title of host publication | Augmented Reality, Virtual Reality, and Computer Graphics - 7th International Conference, AVR 2020, Proceedings |
Editors | Lucio Tommaso De Paolis, Patrick Bourdot |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 268-283 |
Number of pages | 16 |
ISBN (Print) | 9783030584672 |
DOIs | |
State | Published - 2020 |
Event | 7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020 - Lecce, Italy Duration: 7 Sep 2020 → 10 Sep 2020 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12243 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020 |
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Country/Territory | Italy |
City | Lecce |
Period | 7/09/20 → 10/09/20 |
Bibliographical note
Publisher Copyright:© 2020, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Keywords
- Augmented Reality
- Human-centered smart systems
- Industrial training applications
- Unity 3D